DE102018006024A1 - Controller und maschinelle Lernvorrichtung - Google Patents

Controller und maschinelle Lernvorrichtung Download PDF

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Publication number
DE102018006024A1
DE102018006024A1 DE102018006024.2A DE102018006024A DE102018006024A1 DE 102018006024 A1 DE102018006024 A1 DE 102018006024A1 DE 102018006024 A DE102018006024 A DE 102018006024A DE 102018006024 A1 DE102018006024 A1 DE 102018006024A1
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DE
Germany
Prior art keywords
state
processing
controller
learning
processing result
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
DE102018006024.2A
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German (de)
English (en)
Inventor
Keita HADA
Kazuomi Maeda
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Fanuc Corp
Original Assignee
Fanuc Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Fanuc Corp filed Critical Fanuc Corp
Publication of DE102018006024A1 publication Critical patent/DE102018006024A1/de
Pending legal-status Critical Current

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Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J13/00—Controls for manipulators
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00—Programme-controlled manipulators
    • B25J9/16—Programme controls
    • B25J9/1602—Programme controls characterised by the control system, structure, architecture
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00—Programme-controlled manipulators
    • B25J9/16—Programme controls
    • B25J9/1628—Programme controls characterised by the control loop
    • B25J9/163—Programme controls characterised by the control loop learning, adaptive, model based, rule based expert control
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/18—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
    • G05B19/406—Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by monitoring or safety
    • G05B19/4063—Monitoring general control system
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/32—Operator till task planning
    • G05B2219/32193—Ann, neural base quality management
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/50—Machine tool, machine tool null till machine tool work handling
    • G05B2219/50185—Monitoring, detect failures, control of efficiency of machine, tool life
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Landscapes

  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Artificial Intelligence (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Manufacturing & Machinery (AREA)
  • Robotics (AREA)
  • Mechanical Engineering (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Quality & Reliability (AREA)
  • Human Computer Interaction (AREA)
  • Numerical Control (AREA)
  • Feedback Control In General (AREA)
  • Testing And Monitoring For Control Systems (AREA)
DE102018006024.2A 2017-08-07 2018-07-31 Controller und maschinelle Lernvorrichtung Pending DE102018006024A1 (de)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2017-152492 2017-08-07
JP2017152492A JP6693919B2 (ja) 2017-08-07 2017-08-07 制御装置及び機械学習装置

Publications (1)

Publication Number Publication Date
DE102018006024A1 true DE102018006024A1 (de) 2019-02-07

Family

ID=65019984

Family Applications (1)

Application Number Title Priority Date Filing Date
DE102018006024.2A Pending DE102018006024A1 (de) 2017-08-07 2018-07-31 Controller und maschinelle Lernvorrichtung

Country Status (4)

Country Link
US (1) US20190041808A1 (ja)
JP (1) JP6693919B2 (ja)
CN (1) CN109382838B (ja)
DE (1) DE102018006024A1 (ja)

Cited By (1)

* Cited by examiner, † Cited by third party
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WO2021219499A1 (de) * 2020-04-29 2021-11-04 Krones Aktiengesellschaft Behälterbehandlungsmaschine und verfahren zum überwachen des betriebs einer behälterbehandlungsmaschine

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US11132211B1 (en) * 2018-09-24 2021-09-28 Apple Inc. Neural finite state machines
DE102019104822A1 (de) * 2019-02-26 2020-08-27 Wago Verwaltungsgesellschaft Mbh Verfahren und Vorrichtung zum Überwachen eines industriellen Prozessschrittes
JP2020140365A (ja) * 2019-02-27 2020-09-03 トヨタ自動車株式会社 製品品質不良予測システム
JP6908645B2 (ja) * 2019-03-04 2021-07-28 ファナック株式会社 管理装置及び管理システム
CN113646714A (zh) * 2019-04-29 2021-11-12 西门子股份公司 生产设备的加工参数设置方法、装置和计算机可读介质
JP6811465B2 (ja) * 2019-05-24 2021-01-13 株式会社エクサウィザーズ 学習装置、学習方法、学習プログラム、自動制御装置、自動制御方法および自動制御プログラム
US11413747B2 (en) * 2019-08-12 2022-08-16 Workshops for Warriors Machine learning driven computer numerical control of a robotic machine tool
JP7399661B2 (ja) * 2019-09-24 2023-12-18 シチズン時計株式会社 加工装置、加工方法、及び加工システム
JP7395954B2 (ja) 2019-10-24 2023-12-12 株式会社ジェイテクト Ｎｃデータ良否判定装置及び加工装置
JP7451948B2 (ja) * 2019-11-12 2024-03-19 株式会社ジェイテクト 加工品質予測システム
CN112775731B (zh) * 2019-11-01 2024-06-07 株式会社捷太格特 磨削***
JP7451949B2 (ja) * 2019-11-12 2024-03-19 株式会社ジェイテクト 加工品質予測システム
JP6880335B1 (ja) 2020-03-17 2021-06-02 三菱電機株式会社 加工条件探索装置および加工条件探索方法
JP6831030B1 (ja) * 2020-06-30 2021-02-17 三菱重工業株式会社 予測モデルの学習方法、予測モデルの学習装置、及び、プラント制御システム
WO2023031984A1 (ja) * 2021-08-30 2023-03-09 三菱電機株式会社 加工寸法予測装置、加工寸法予測システム、加工寸法予測方法及びプログラム
CN115475900B (zh) * 2022-09-19 2023-10-27 江兴(淮安)汽车部件有限公司 一种传动轴自动化精密锻造的方法和***

Citations (2)

* Cited by examiner, † Cited by third party
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JP2566345B2 (ja) 1991-05-27 1996-12-25 洋太郎 畑村 加工機械
JP2008027210A (ja) 2006-07-21 2008-02-07 Denso Corp 加工設備及び加工設備の制御方法

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JP2961622B2 (ja) * 1990-09-29 1999-10-12 豊田工機株式会社 インテリジェント加工システム
JPH11129145A (ja) * 1997-10-31 1999-05-18 Denso Corp 加工物の形状精度診断装置及び加工物の形状精度診断方法及び記録媒体
CN101216710A (zh) * 2007-12-28 2008-07-09 东南大学 一种由计算机实现的自适应选择动态生产调度控制***
CN101817163B (zh) * 2010-03-25 2012-01-04 南京大学 一种基于神经网络的磨削加工工况检测方法
CN102073300B (zh) * 2010-12-28 2013-04-17 华中科技大学 一种数控加工状态自学习的刀具磨损监控***
CN203062094U (zh) * 2012-12-31 2013-07-17 徐州润物科技发展有限公司 激光切割工业机器人
DE102016008987B4 (de) * 2015-07-31 2021-09-16 Fanuc Corporation Maschinenlernverfahren und Maschinenlernvorrichtung zum Lernen von Fehlerbedingungen, und Fehlervorhersagevorrichtung und Fehlervorhersagesystem, das die Maschinenlernvorrichtung einschließt
JP6140228B2 (ja) * 2015-08-27 2017-05-31 ファナック株式会社 加工条件を調整しながら加工を行うワイヤ放電加工機
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Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2566345B2 (ja) 1991-05-27 1996-12-25 洋太郎 畑村 加工機械
JP2008027210A (ja) 2006-07-21 2008-02-07 Denso Corp 加工設備及び加工設備の制御方法

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021219499A1 (de) * 2020-04-29 2021-11-04 Krones Aktiengesellschaft Behälterbehandlungsmaschine und verfahren zum überwachen des betriebs einer behälterbehandlungsmaschine

Also Published As

Publication number Publication date
CN109382838A (zh) 2019-02-26
CN109382838B (zh) 2021-05-28
US20190041808A1 (en) 2019-02-07
JP2019032649A (ja) 2019-02-28
JP6693919B2 (ja) 2020-05-13

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